class_docstr: Wrapper to serialize h2o algorithms.
  Can be used for classification, multioutput regression and time series forecasting.
  Unfortunately there are no support for all types of h2o pipelines (for this version)
code: def load_operation(cls, path_global):
      models = []
      for path in os.listdir(path_global):
          path = os.path.join(path_global, path)
          imported_model = h2o.import_mojo(path)
          models.append(imported_model)
      return H2OSerializationWrapper(models)
  
file_path: FEDOT/fedot/core/pipelines/automl_wrappers.py
imports: import os
  import h2o
label_desc: Use image node_id 2 for calling the H2OSerializationWrapper obj's underlying member method code with example usage: obj.load_operation(cls, path_global) and returns: H2OSerializationWrapper